March 2, 2025 - March 4, 2025
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Event Session

Patenting AI: How to Protect AI Innovations and AI Assisted Inventors *

March 4, 2025 @ 2:30 PM EST – Knowles IP Strategies

2:30 PM ET
March 4, 2025

Knowles IP Strategies

Patenting AI: How to Protect AI Innovations and AI Assisted Inventors *

View Session Speakers

CLEArtificial Intelligence (AI) stands at the forefront of innovation, transforming industries and shaping the future of global economies. Although AI innovators understand the value of intellectual property (IP) protection for their innovations, they often don’t know how to secure the right kind of IP protection for their innovations. This panel will discuss practical tips and suggestions for protecting AI innovations, AI assisted innovations, and whether the input to an AI system, such as a prompt to a large language model, can be patented.

Survey

https://www.surveymonkey.com/r/Patenting-AI

Reference Materials

Can AI Prompts Be Patented?

Uncovering Valuable AI Assets: A Strategic Guide for AI Companies and Patent Attorneys

AI and the Level of Ordinary Skill: Why Patent Law Must (and Can) Adapt to AI-Augmented Invention

Beyond recognition: why naming AI as inventor on patents doesn’t compute

 AI-Generated Inventions Need Human Ingenuity and Patents



Add to Calendar 04/20/2026 2:24 AM America/New_York Patenting AI: How to Protect AI Innovations and AI Assisted Inventors *

Artificial Intelligence (AI) stands at the forefront of innovation, transforming industries and shaping the future of global economies. Although AI innovators understand the value of intellectual property (IP) protection for their innovations, they often don’t know how to secure the right kind of IP protection for their innovations. This panel will discuss practical tips and suggestions for protecting AI innovations,…

Session Speakers

Jason Harrier

AI Patent Counsel

Salesforce

Mark Liang

Mark Liang

Partner

O'Melveny & Myers LLP

Robert Plotkin

Founding Partner

Blueshift IP

Mark Vallone

Chief Patent Counsel, Americas

IBM